Content
77%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
A well-organized, actionable reference with executable code and a clear process sequence, weakened mainly by a verbose inline events catalog that would benefit from progressive disclosure into a separate reference file.
Suggestions
Move the long 'Default Baseline Events' catalog (event field listings, attribution params) into a separate reference file and keep SKILL.md as an overview pointing to it.
Tighten the dense $ai_generation and http.response field lists, removing duplicate attribution fields already covered in the 'Referral / viral attribution' section.
Add a one-line cross-link under each built-in provider to its config/secret details so the table stays scannable.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The API section is lean with executable code, but the 'Default Baseline Events' catalog is a dense field dump (utm_*, $ai_* fields) with attribution fields restated, and could be tightened or split out rather than inlined. | 2 / 3 |
Actionability | Provides fully executable TypeScript with imports, concrete env var tables, exact file paths, and copy-paste-ready examples across all API entry points. | 3 / 3 |
Workflow Clarity | The 'How It Works' section gives a clear numbered fan-out sequence; the fire-and-forget analytics calls are not destructive/batch operations requiring validation checkpoints, so the unambiguous single process scores 3. | 3 / 3 |
Progressive Disclosure | The body is well-sectioned but monolithic at ~208 lines with no bundle files; the lengthy baseline-events catalog is inline content that could be separated into a reference file rather than kept in the overview. | 2 / 3 |
Total | 10 / 12 Passed |